2026-2030年全球網格化排隊分析人工智慧市場

預計從 2025 年到 2030 年，全球用於電網連接排隊分析的 AI 市場規模將成長至 22.824 億美元，預測期內複合年成長率為 22.7%。

這份關於全球電網連接隊列分析人工智慧市場的報告提供了全面的分析、市場規模和預測、趨勢、成長要素、挑戰以及供應商分析，涵蓋了約 25 家供應商。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動該市場發展的因素包括：可再生能源的廣泛應用及其導致的電網負載積壓、電網現代化相關的監管要求和政策改革，以及預測建模和高效能運算領域的技術進步。

本研究客觀地結合了一手和二手訊息，包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

本研究指出，用於動態電網模擬和預測性影響分析的數位雙胞胎環境的普及是未來幾年全球電網互聯排隊分析人工智慧市場成長的關鍵促進因素之一。此外，隨著排隊效率調查方法向自動化叢集調查方法的轉變，以及人工智慧驅動的電網增強技術在最大化現有基礎設施容量方面的應用，預計市場需求也將顯著成長。

目錄

第1章執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球網格化排隊分析人工智慧市場
• 基於組件的細分市場分析，2020-2024 年
• 基於應用領域的細分市場分析，2020-2024 年
• 按部署方式分類的細分市場分析，2020-2024 年
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 地緣政治衝突的影響：全球網格化排隊分析人工智慧市場

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 軟體
• 服務
• 硬體
• 市場機會：按組件分類

第9章 市場區隔：依應用

• 比較：透過應用
• 可再生能源併網
• 電網規劃與最佳化
• 電力傳輸和分配管理
• 需求預測與生產計畫
• 其他
• 市場機會：依應用領域分類

第10章 市場區隔：依部署方式

• 比較：依部署方式
• 基於雲端的
• 現場
• 市場機會：依發展階段分類

第11章 客戶情況

第12章 區域情勢

• 區域分類
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 荷蘭
  • 義大利
  • 西班牙
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 南非
  • 以色列
  • 土耳其
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• ANSYS Inc.
• Camus Energy
• Enverus Inc.
• GE Vernova Inc.
• Hitachi Energy Ltd.
• Kevala Technologies Inc.
• Neara
• Pearl Street Technologies Inc.
• PXiSE Energy Solutions
• Resource Innovations
• REsurety Inc
• S and P Global Inc.
• Schneider Electric SE
• Siemens AG
• Wood Mackenzie

第16章附錄

The global grid interconnection queue analytics ai market is forecasted to grow by USD 2282.4 mn during 2025-2030, accelerating at a CAGR of 22.7% during the forecast period. The report on the global grid interconnection queue analytics ai market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by exponential growth of renewable energy integration and resultant grid backlogs, regulatory mandates and policy reforms for grid modernization, technological advancements in predictive modeling and high-performance computing.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global grid interconnection queue analytics ai market is segmented as below:

By Component

• Software
• Services
• Hardware

By Application

• Renewable energy integration
• Grid planning and optimization
• Transmission and distribution management
• Forecasting and scheduling
• Others

By Deployment

• Cloud-based
• On-premises

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • The Netherlands
  • Italy
  • Spain
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the proliferation of digital twin environments for dynamic grid simulation and predictive impact analysis as one of the prime reasons driving the global grid interconnection queue analytics ai market growth during the next few years. Also, transition toward automated cluster-based methodologies for enhanced queue efficiency and integration of ai-enabled grid-enhancing technologies to maximize existing infrastructure capacity will lead to sizable demand in the market.

The report on the global grid interconnection queue analytics ai market covers the following areas:

• Global grid interconnection queue analytics ai market sizing
• Global grid interconnection queue analytics ai market forecast
• Global grid interconnection queue analytics ai market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global grid interconnection queue analytics ai market vendors that include ANSYS Inc., Camus Energy, DNV Group AS, Energy Toolbase, Enverus Inc., GE Vernova Inc., GridUnity Inc., Hitachi Energy Ltd., Invenia Technical Computing, Kevala Technologies Inc., LevelTen Energy, Neara, Pearl Street Technologies Inc., PXiSE Energy Solutions, Resource Innovations, REsurety Inc, S and P Global Inc., Schneider Electric SE, Siemens AG, Wood Mackenzie. Also, the global grid interconnection queue analytics ai market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Grid Interconnection Queue Analytics AI Market 2020 - 2024
  • Historic Market Size - Data Table on Global Grid Interconnection Queue Analytics AI Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.4 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of geopolitical conflicts on Global Grid Interconnection Queue Analytics AI Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Software - Market size and forecast 2025-2030
• 8.4 Services - Market size and forecast 2025-2030
• 8.5 Hardware - Market size and forecast 2025-2030
• 8.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 Renewable energy integration - Market size and forecast 2025-2030
• 9.4 Grid planning and optimization - Market size and forecast 2025-2030
• 9.5 Transmission and distribution management - Market size and forecast 2025-2030
• 9.6 Forecasting and scheduling - Market size and forecast 2025-2030
• 9.7 Others - Market size and forecast 2025-2030
• 9.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Market Segmentation by Deployment

• 10.1 Market segments
• 10.2 Comparison by Deployment
• 10.3 Cloud-based - Market size and forecast 2025-2030
• 10.4 On-premises - Market size and forecast 2025-2030
• 10.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 The Netherlands - Market size and forecast 2025-2030
  • 12.4.5 Italy - Market size and forecast 2025-2030
  • 12.4.6 Spain - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 South America - Market size and forecast 2025-2030
  • 12.6.1 Brazil - Market size and forecast 2025-2030
  • 12.6.2 Argentina - Market size and forecast 2025-2030
  • 12.6.3 Colombia - Market size and forecast 2025-2030
• 12.7 Middle East and Africa - Market size and forecast 2025-2030
  • 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.7.2 UAE - Market size and forecast 2025-2030
  • 12.7.3 South Africa - Market size and forecast 2025-2030
  • 12.7.4 Israel - Market size and forecast 2025-2030
  • 12.7.5 Turkey - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Exponential growth of renewable energy integration and resultant grid backlogs
  • Regulatory mandates and policy reforms for grid modernization
  • Technological advancements in predictive modeling and high-performance computing
• 13.2 Market challenges
  • Data fragmentation and absence of unified standardization protocols
  • Heightened cybersecurity risks and vulnerability of autonomous grid systems
  • Chronic scarcity of specialized talent and high cost of computational infrastructure
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Proliferation of digital twin environments for dynamic grid simulation and predictive impact analysis
  • Transition toward automated cluster-based methodologies for enhanced queue efficiency
  • Integration of AI-enabled grid-enhancing technologies to maximize existing infrastructure capacity

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 ANSYS Inc.
  • ANSYS Inc. - Overview
  • ANSYS Inc. - Business segments
  • ANSYS Inc. - Key offerings
  • ANSYS Inc. - Segment focus
  • SWOT
• 15.5 Camus Energy
  • Camus Energy - Overview
  • Camus Energy - Product / Service
  • Camus Energy - Key offerings
  • SWOT
• 15.6 Enverus Inc.
  • Enverus Inc. - Overview
  • Enverus Inc. - Product / Service
  • Enverus Inc. - Key offerings
  • SWOT
• 15.7 GE Vernova Inc.
  • GE Vernova Inc. - Overview
  • GE Vernova Inc. - Business segments
  • GE Vernova Inc. - Key offerings
  • GE Vernova Inc. - Segment focus
  • SWOT
• 15.8 Hitachi Energy Ltd.
  • Hitachi Energy Ltd. - Overview
  • Hitachi Energy Ltd. - Product / Service
  • Hitachi Energy Ltd. - Key offerings
  • SWOT
• 15.9 Kevala Technologies Inc.
  • Kevala Technologies Inc. - Overview
  • Kevala Technologies Inc. - Product / Service
  • Kevala Technologies Inc. - Key offerings
  • SWOT
• 15.10 Neara
  • Neara - Overview
  • Neara - Product / Service
  • Neara - Key offerings
  • SWOT
• 15.11 Pearl Street Technologies Inc.
  • Pearl Street Technologies Inc. - Overview
  • Pearl Street Technologies Inc. - Product / Service
  • Pearl Street Technologies Inc. - Key offerings
  • SWOT
• 15.12 PXiSE Energy Solutions
  • PXiSE Energy Solutions - Overview
  • PXiSE Energy Solutions - Product / Service
  • PXiSE Energy Solutions - Key offerings
  • SWOT
• 15.13 Resource Innovations
  • Resource Innovations - Overview
  • Resource Innovations - Product / Service
  • Resource Innovations - Key offerings
  • SWOT
• 15.14 REsurety Inc
  • REsurety Inc - Overview
  • REsurety Inc - Product / Service
  • REsurety Inc - Key offerings
  • SWOT
• 15.15 S and P Global Inc.
  • S and P Global Inc. - Overview
  • S and P Global Inc. - Business segments
  • S and P Global Inc. - Key offerings
  • S and P Global Inc. - Segment focus
  • SWOT
• 15.16 Schneider Electric SE
  • Schneider Electric SE - Overview
  • Schneider Electric SE - Business segments
  • Schneider Electric SE - Key news
  • Schneider Electric SE - Key offerings
  • Schneider Electric SE - Segment focus
  • SWOT
• 15.17 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT
• 15.18 Wood Mackenzie
  • Wood Mackenzie - Overview
  • Wood Mackenzie - Product / Service
  • Wood Mackenzie - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations